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Nuclear Power02:36

Nuclear Power

8.5K
Controlled nuclear fission reactions are used to generate electricity. Any nuclear reactor that produces power via the fission of uranium or plutonium by bombardment with neutrons has six components: nuclear fuel consisting of fissionable material, a nuclear moderator, a neutron source, control rods, reactor coolant, and a shield and containment system.
Nuclear Fuels
Nuclear fuel consists of a fissile isotope, such as uranium-235, which must be present in sufficient quantity to provide a...
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Nuclear Fusion02:45

Nuclear Fusion

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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
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Nuclear Fission02:50

Nuclear Fission

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Many heavier elements with smaller binding energies per nucleon can decompose into more stable elements that have intermediate mass numbers and larger binding energies per nucleon—that is, mass numbers and binding energies per nucleon that are closer to the “peak” of the binding energy graph near 56. Sometimes neutrons are also produced. This decomposition of a large nucleus into smaller pieces is called fission. The breaking is rather random with the formation of a large...
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Nuclear Transmutation03:20

Nuclear Transmutation

19.4K
Nuclear transmutation is the conversion of one nuclide into another. It can occur by the radioactive decay of a nucleus, or the reaction of a nucleus with another particle. The first manmade nucleus was produced in Ernest Rutherford’s laboratory in 1919 by a transmutation reaction, the bombardment of one type of nuclei with other nuclei or with neutrons. Rutherford bombarded nitrogen-14 atoms with high-speed α particles from a natural radioactive isotope of radium and observed...
19.4K
Nuclear Stability03:18

Nuclear Stability

20.6K
Protons and neutrons, collectively called nucleons, are packed together tightly in a nucleus. With a radius of about 10−15 meters, a nucleus is quite small compared to the radius of the entire atom, which is about 10−10 meters. Nuclei are extremely dense compared to bulk matter, averaging 1.8 × 1014 grams per cubic centimeter. If the earth’s density were equal to the average nuclear density, the earth’s radius would be only about 200 meters.
To hold positively charged protons together...
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Nuclear Binding Energy02:13

Nuclear Binding Energy

13.6K
The difference between the calculated and experimentally measured masses is known as the mass defect of the atom. In the case of helium-4, the mass defect indicates a “loss” in mass of 4.0331 amu – 4.0026 amu = 0.0305 amu. The loss in mass accompanying the formation of an atom from protons, neutrons, and electrons is due to the conversion of that mass into energy that is evolved as the atom forms. The nuclear binding energy is the energy produced when the atoms’ nucleons...
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Updated: Oct 18, 2025

Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident
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Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident

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AI-based design of a nuclear reactor core.

Vladimir Sobes1, Briana Hiscox2, Emilian Popov2

  • 1University of Tennessee, Knoxville, USA. sobesv@utk.edu.

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|October 5, 2021
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Summary

An AI algorithm optimizes nuclear reactor core design using flexible geometry, achieving a 3x improvement in temperature peaking factor. This advance enables smoother temperature distribution through novel geometric manipulation.

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Area of Science:

  • Nuclear Engineering
  • Artificial Intelligence in Nuclear Design
  • Computational Materials Science

Background:

  • Additive manufacturing (3-D printing) enables arbitrary geometric designs for nuclear reactor cores.
  • Exploring vast design spaces computationally is challenging due to time-intensive multiphysics simulations.
  • Traditional methods for temperature distribution control in reactors include axial loading and fuel shuffling.

Purpose of the Study:

  • To develop an artificial intelligence (AI)-based algorithm for nuclear reactor core design and optimization.
  • To explore the potential of flexible geometry in improving reactor performance metrics.
  • To demonstrate significant improvements in the temperature peaking factor.

Main Methods:

  • Development of a machine learning-based multiphysics emulator.
  • Evaluation of thousands of candidate geometries using high-performance computing (Summit supercomputer).
  • Focus on manipulating reactor core geometry for performance optimization.

Main Results:

  • Achieved a 3x improvement in the temperature peaking factor, a key performance metric.
  • Demonstrated successful temperature distribution smoothing within the nuclear reactor core via geometric manipulation.
  • Successfully evaluated a large number of candidate designs efficiently using the AI emulator.

Conclusions:

  • AI-driven design offers a powerful approach for optimizing nuclear reactor cores with arbitrary geometries.
  • Geometric manipulation presents a novel method for controlling temperature distribution, complementing traditional techniques.
  • Highlights the potential for AI-based autonomous design algorithms in future nuclear systems.